0044-2275/99/020282-19 $ 1.50+0.20/0
c 1999 Birkh¨ auser Verlag, Basel Mathematik und Physik ZAMP
Basins of attraction in strongly damped coupled mechanical oscillators: A global example ∗
Bernold Fiedler, Mohamed Belhaq and Mohamed Houssni
Abstract. We consider a finite array of N oscillators with nearest neighbor coupling along a line, and with two types of damping. Friction terms can affect each individual oscillator, separately:
local damping. Neighboring damping, in contrast, affects nearest neighbor distances.
Although stability of equilibria does not depend on the particular type of damping, global basins of attraction do. We show that basins of attraction can in fact jump discontinuously under continuous variations of local versus neighbor damping. This effect is caused by heteroclinic saddle-saddle connections of equilibria. It occurs even in the limit of strong damping and for only two oscillators, N = 2.
The results are based on geometric singular perturbation methods, Sturm type oscillation theory (zero numbers), and the related theory of Jacobi systems. Going beyond the motivating mechanical application, they emphasize the dependence of basins of attraction and heteroclinic orbit connections in gradient systems on the underlying metric.
Mathematics Subject Classification (1991). 34C37, 70K20, 34D15, 34D45.
Keywords. Coupled oscillators, basins of attraction, gradient systems, heteroclinic connections, Jacobi systems, zero number, lattice dynamics.
1. Introduction
A mechanical oscillator with one degree of freedom and with a linear friction force can be modelled as a pendulum
¨
u + α u ˙ + f (u) = 0. (1.1)
In the absence of damping, that is for α = 0, a strict local minimum u 0 of the potential energy F(u) = R
uf (s)ds is surrounded by periodic orbits in the phase plane (u, u) ˙ ∈ X = R 2 . For positive damping, α > 0, the minimum u 0 becomes an attracting equilibrium (u 0 , u ˙ ≡ 0) of (1.1) in the phase plane X. Its basin of
∗
This work was supported by the Deutsche Forschungsgemeinschaft and by the Deutsche
Gesellschaft f¨ ur Technische Zusammenarbeit.
attraction, B(u 0 ), consists of all initial conditions (u(0), u(0)) in ˙ X such that the solution of (1.1) satisfies
t→
lim +
∞(u(t), u(t)) = (u ˙ 0 , 0). (1.2) The basin of attraction depends on α and can, in fact, undergo quite intricate global changes as the Hamiltonian situation α = 0 is approached by the gradient- like cases α > 0 with Lyapunov function ˙ u 2 /2 + F (u); see [Ter85].
In the limit of strong damping, α → + ∞ , system (1.1) reduces to the gradient flow
˙
u = − f (u). (1.3)
Indeed, we may rescale time (t → αt) and rewrite (1.1) as a system u
0= v
α
−2 v
0= − v − f (u) (1.4)
Standard geometric singular perturbation theory ([Fen79], Wig94]) then identifies a slow manifold
v = − f (u) + O (α
−2 ). (1.5)
in the phase plane (u, v) ∈ X which is normally hyperbolic with large exponential rate ∼ α 2 of attraction. Inside this “inertial manifold”, being a graph over u, the flow is given by
u
0= − f (u) + O (α
−2 ). (1.6)
The perturbation is small of the order indicated, uniformly for derivatives up to the order of differentiability of the force f (u). This justifies the limit (1.3).
A finite array of N mechanical oscillators, linearly coupled along a line with damping coefficients α
i, β
iand coupling strengths λ
i, can be modelled by
0 = ¨ u
i+ α
iu ˙
i+ f
i(u
i) + β
i−1 ( − u ˙
i−1 + ˙ u
i) + β
i( − u ˙
i+1 + ˙ u
i)+
+ λ
i−1 ( − u
i−1 + u
i) + λ
i( − u
i+1 + u
i), (1.7) where i = 1, . . . , N . Neumann boundary conditions amount to
u 0 := u 1 , u
N+1 := u
N. (1.8) Dirichlet conditions, for example, would be u 0 := 0, u
N+1 := 0.
Note that (1.7) can also be viewed as a spatial finite difference semidiscretiza- tion of a hyperbolic partial differential equation
0 = u
tt+ αu
t+ f (x, u) − (βu
tx)
x− (λu
x)
xWe call the effect of α
i> 0 a local damping, whereas β
i> 0 indicate neighbor damping. Rewriting (1.7), (1.8) in vector form u = (u 1 , . . . , u
N), we obtain
0 = ¨ u + αA u ˙ + Lu + f (u) (1.9) We henceforth assume α > 0, L positive semidefinite, A strictly positive definite, and A, L symmetric. This is the case for λ
i> 0, α
i> 0, β
i≥ 0. Note how the boundary conditions enter into L. Also note that (f (u))
i= f
i(u
i).
In the following, we fix A, L and consider the limit of strong damping, α → + ∞ . By the same arguments as in (1.3)-(1.6) above, the system 1.9 reduces to
A u ˙ = − f (u) − Lu (1.10)
on a slow manifold v = − f (u) − Lu, for α = + ∞ . The behavior of basins of attraction for α ≥ α 0 large, with (1.9) limiting to (1.10), will be our main object of study, in the present paper. In particular theorem 1.1 below investigates discontinuous jumps in basin boundaries as the damping is varied from local to neighbor type.
System (1.10) is gradient-like with respect to the potential (or energy or Lya- punov) function
V (u) := F 1 (u 1 ) + . . . + F
N(u
N) + 1
2 u
TLu, (1.11)
where F
idenote the primitives of f
i, as before. Indeed, (1.10) reads
A u ˙ = − grad
uV (u) (1.12)
and therefore positivity of A implies d
dt V (u) = − (grad
uV (u))
TA
−1 grad
uV (u) < 0 (1.13) is strictly negative along solutions u(t) of (1.10), unless grad
uV (u) = 0. In partic- ular, bounded solutions u(t) tend to the set of equilibria for t → + ∞ , t → −∞ , respectively.
Consider, more specifically, an equilibrium u = E 0 which is asymptotically stable, that is, a strict local minimum of the potential V (u). Note that E 0 remains an equilibrium, for all choices of the positive definite symmetric damping matrix A. In section 2, we prove that (linear) stability of E 0 is also independent of A.
Therefore it makes sense to define its basin of attraction, B(E 0 ), as in (1.2) above.
Our main result, theorem 1 below, states that the basin of attraction B(E 0 ) can
depend on the precise form of the damping matrix A, even in the limit of large
damping α = + ∞ which we consider in (1.10).
To be completely specific, we consider (1.7) for the following example of N = 2 oscillators
f 1 (u 1 ) = − 1 2 u 3 1 − 3
2 u 2 1 − u 1 + 1 f 2 (u 2 ) = − u 2 2
α 1 = α 2 = (1 − τ)α (1.14)
β 1 = τ α λ 1 = λ
under Neumann boundary conditions (1.8) and in the limit α → + ∞ of large damping. Here λ > 0, and the homotopy parameter 0 ≤ τ < 1 indicates the relative size of the two types of strong damping: τ = 0 indicates purely local damping and absence of neighbor friction, whereas τ % 1 denotes the limit of pure neighbor damping of individually undamped mechanical oscillators. We now state our main result.
Theorem 1.1. Consider the four-dimensional system (1.7), (1.8) of coupled me- chanical oscillators with N = 2 degrees of freedom and with specific nonlinearities and parameters (1.14). For 0 ≤ τ < 1, α > 0 and all λ sufficiently close to 1, the following then holds.
System (1.7), (1.8) possesses precisely four equilibria E 0 , E 1
±, E 2 . Each equi- librium is hyperbolic, that is, an isolated, nondegenerate critical point of the poten- tial V (u) defined in (1.11). The unstable dimensions, alias Morse indices, of these four equilibria are 0, 1, 1, 2, respectively, as indicated by their numerical subscripts.
In particular, E 0 is attracting with basin B(E 0 ).
For strong damping, that is, for some sufficiently large α 0 and any fixed α ≥ α 0 > 0, the basin B(E 0 ) depends significantly on the relative size τ ∈ [0, 1) of neighbor versus local damping.
More precisely, there exist parameters λ 0 near 1 and τ(α) ∈ (0, 1), such that for λ = λ 0 and all τ ∈ (0, 1) \ τ(α) sufficiently close to τ(α) the following dichotomy arises. For τ on one side of τ(α), the repelling equilibrium E 2 lies in the boundary
∂B(E 0 ) of the E 0 -basin, whereas E 2 6∈ ∂B(E 0 ) for τ on the other side of τ(α).
In particular, the basin boundary experiences a finite nonzero jump as the rel- ative damping τ increases through τ = τ(α). The jump size is bounded away from zero, uniformly for all α ≥ α 0 . This effect is caused by a nongeneric, nontrans- verse saddle-saddle heteroclinic orbit from E 1+ to E 1
−at τ = τ(α).
We emphasize that our results are proved with mathematical rigor rather than just suggested by numerical simulation. For illustration of the geometry in the planar limiting system (1.10) of damping α = + ∞ , we refer to Figs. 5.1.a,b. For a general background of methodology we refer to [Fen79], [CH82], [GH83], [Wig94].
Altough the explicit statement of our theorem is planar, we emphasize that
our methodology is not planar. In principle, it applies to any number of coupled
oscillators. Our approach will carefully outline a general strategy to detect jumps in basin boundaries induced by a transition from local to neighbor friction. In this sense, our specific planar example serves as a minimalistic paradigm for the general situation.
Outline of the paper. In section 2, we investigate equilibria and the variational structure of the limiting system (1.10) at α = + ∞ , including issues like Morse indices, heteroclinic connections, and boundaries of basins of attraction. Section 3 is devoted to nodal properties of (1.10). This is a global structure of Sturm oscillation type, which is peculiar to the case τ = 0 of purely local damping.
In contrast to theorem 1.1, systems (1.10) with purely local damping are Morse- Smale, if all equilibria are hyperbolic. In particular, saddle-saddle heteroclinics as in theorem 1.1 cannot occur for τ = 0, see proposition 3.1.
In section 4, we address the limit τ % 1 by methods of geometric singular perturbation theory. In particular, the degenerate saddle-saddle heteroclinic orbit from E 1+ to E 1
−will appear at coupling parameter λ = 1, in this limit. Through- out sections 2-4 we will develop our approach to coupled mechanical oscillators in complete generality, not just restricted to our particular example (1.14). Only in section 5, we condense our approach into a rigorous proof of theorem 1. An out- line of the proof, which also summarizes sections 2–4 with a view towards example (1.14), is given at the beginning of section 5. We conclude, in section 6, with a discussion of our results.
2. Variational structure
In the introduction we have seen how variational gradient systems (1.10) arise from coupled mechanical oscillators (1.7), (1.8) in the limit of strong damping. We now collect some facts on gradient systems, in their own right, for later use. We first observe that the unstable dimension (= Morse index) of equilibria does not depend on the type τ of damping, local versus neighbor; see proposition 2.1. Next, we give a brief account of structural stability of Morse-Smale systems, as introduced by Palis and Smale [PS70]; see also [PdM82]. We conclude, in proposition 2.3, with an investigation of isolated equilibria in the basin boundary of attractors.
To address hyperbolicity of equilibria, we consider the following slight general- ization of (1.10), (1.12):
A(u) ˙ u = − grad
uV (u) =: − V
u(u) (2.1) where A(u) is a C 1 function of strictly positive definite, symmetric matrices, and V is a C 2 scalar function of u ∈ R
N. Note that (2.1) is gradient-like with respect to the Lyapunov functional V . For hyperbolic equilibria, alias critical points u = E of V , we let i(E) denote the unstable dimension, alias Morse index of E, that is, the number of eigenvalues of the linearization
− A(E)
−1 V
uu(E) (2.2)
with strictly positive real part, counting algebraic multiplicity.
Proposition 2.1. The Morse index i(E) of the equilibrium E of (2.1) does not depend on the matrix function A(u). In particular, E is hyperbolic if, and only if, it is nondegenerate as a critical point of V . The unstable dimension of E, in (2.2), equals the Morse index of E, as a critical point of V .
Proof. By linear conjugation with the positive definite, symmetric square root A(E) 1
/2 , the matrix (2.2) transforms into
− A(E)
−1
/2 V
uu(E)A(E)
−1
/2 . (2.3) As a quadratic form, this latter matrix is equivalent to the Hessian − V
uu(E) itself.
In particular, the Morse indices coincide, and the proof is complete.
So, the proof is by basic linear algebra. A slightly more abstract view point would observe that the notion of a gradient grad
uV (u) depends on the underlying Riemannian metric and the associated direction − grad
uV (u) of steepest descent.
Thus, the metric A(u) does not change the Morse index, or saddle type, of the nondegenerate critical point u = E. Nevertheless, a particular change in the damping metric A(τ) could change the global pattern of basins and heteroclinic orbits, in our context of coupled mechanical oscillators, at least in principle. Our main result, theorem 1.1, states that this actually happens in our specific example (1.14).
We now begin our investigation of heteroclinic orbits and basins of attraction of general gradient-like systems
˙
u = g(u), (2.4)
u ∈ R
N. By gradient-like we mean that there exists a Lyapunov function V such that t → V (u(t)) decreases strictly along solutions u(t) except, of course, at equilibria, where g(E) = 0. Note that (1.10), (1.12) and, more generally, (2.1) are gradient-like systems. Similarly, the original system of coupled oscillators (1.7), (1.8) is gradient-like, provided all damping coefficients α
iare positive (but not necessarily large).
We recall that α- and ω-limit sets of bounded solutions u(t) consist entirely of equilibria, for gradient-like systems, by LaSalle’s invariance principle; see [Hal69].
If equilibria are isolated, for example hyperbolic as they will be in our context, then α- and ω-limit sets consist of single equilibria, respectively. Denote the (local) flow of (2.4) by u(t) = u 0 · t; the initial condition is u(0) = u 0 . We call an equilibrium E 0 an attractor, if
t→
lim +
∞u 0 · t = E 0 (2.5)
for all initial conditions in a sufficiently small neighborhood of E 0 . In particular,
E 0 is a strict local minimum of V , and hence stable, and is isolated as an equi-
librium. Its basin of attraction B(E 0 ) is the set of all u 0 , including E 0 , for which
(2.5) holds. Attractors have open basins. By ∂B(E 0 ) we denote the topological basin boundary. Both B and ∂B are flow invariant, in both positive and negative time direction.
We say that an equilibrium E 2 connects to another equilibrium E 1 by a hete- roclinic orbit u 0 · t, symbolically E 2 E 1 , if
t→−∞
lim u 0 · t = E 2
t→
lim +
∞u 0 · t = E 1
(2.6)
If both E 1 and E 2 are hyperbolic, then (2.6) is equivalent to a nonempty intersec- tion of the respective stable and unstable manifolds:
u 0 ∈ W
u(E 2 ) ∩ W
s(E 1 ). (2.7) We call a gradient-like system Morse-Smale, if all equilibria are hyperbolic and the intersections (2.7) are all transverse. Structural stability holds for Morse-Smale systems on compact manifolds: any C 1 -close gradient-like flow can by conjugated to the original, unperturbed flow by a homeomorphism h which preserves time orbits and is C 0 -close to identity [PS70], [PdM82]. In addition to this openness property, the Morse-Smale property is generic, in particular dense, in the class of all gradient-like flows. Similar results hold for gradient-like system on R
N, replacing the compact manifold, if we require dissipativity: the set of equilibria is uniformly bounded, and
V (u) → + ∞ , for | u | → ∞ . (2.8) To see this just compactify the flow to a Morse-Smale flow on S
N, with a repelling north pole representing infinity.
Proposition 2.2. Consider a Morse-Smale system on a compact manifold or, alternatively, on R
Nwith dissipativity. Let E 0 be an attractor, and hence of zero Morse index i(E 0 ), with basin B(E 0 ) and basin boundary ∂B(E 0 ).
Then B(E 0 ), ∂B(E 0 ) change continuously, with respect to symmetric Hausdorff distance, under C 1 gradient-like, dissipative perturbations. Continuity is under- stood as uniform convergence on bounded subsets.
More precisely, the basin boundary ∂B(E 0 ) is the union of stable manifolds W
s(E) of all equilibria E which connect heteroclinically to E 0 :
∂B(E 0 ) = [
E E0
W
s(E). (2.9)
In particular, an equilibrium E lies in the basin boundary ∂B(E 0 ) if, and only if,
E E 0 .
Proof. Continuity of B(E 0 ) = W
s(E 0 ) and ∂B(E 0 ) follow from the work of Smale and Palis. They also show that the relation E E
0is transitive, for Morse- Smale systems. Now let u 0 ∈ W
s(E) for some E E 0 . Then their arguments also yield u 0 ∈ ∂B(E 0 ). Therefore ∂B(E 0 ) contains the right hand side of (2.9).
Conversely, let u 0 ∈ ∂B(E 0 ) be a limit of u
n0 ∈ B(E 0 ) = W
s(E 0 ). Passing to subsequences, if necessary, the trajectories u
n0 · t, t ≥ 0, then converge to a finite sequence of equilibria E
k, . . . , E 1 in ∂B(E 0 ) of strictly decreasing Morse index such that
u 0 · t E
k, for t → + ∞ , (2.10)
and to additional heteroclinic orbits
E
k. . . E 1 E 0 . (2.11)
In particular, u 0 ∈ W
s(E
k) and, by transitivity of , also E
kE 0 . Defining E = E
kcompletes the proof of (2.9) and of the proposition.
We remark that proposition 2.3 adapts to nondissipative Morse-Smale systems, like example (1.14), as follows. Basin boundaries ∂B(E 0 ) still contain the right hand side of (2.9). If B(E 0 ) is unbounded, then ∂B(E 0 ) may contain additional orbits which are unbounded in forward time, or which connect to equilibria which themselves connect to infinity. However, a change in the set of equilibria E which connect to E 0 still implies a jump in the basin boundary. Indeed these claims can easily be verified by a standard cut-off procedure which renders the system dissipative.
3. Local damping and Sturm properties
In this section we consider gradient systems
α 0
iu ˙
i= − f
i(u
i) + λ
i−1 (u
i−1 − u
i) + λ
i(u
i+1 − u
i), (3.1) i = 1, ..., N, with Neumann boundary conditions u 0 := u 1 , u
N+1 := u
Nand positive coupling constants λ
ias well as damping rates α 0
i> 0. This corresponds to large, purely local damping with zero neighbor damping, β
i= 0. The system is of form (1.10) with diagonal damping matrix A. Abstractly (3.1) can be rewritten as
˙
u
i= g
i(u
i−1 , u
i, u
i+1 ). (3.2) The tridiagonal nonlinearity g
ihas positive partial derivatives with respect to the off-diagonal entries u
i±1 , because
∂
i−1 g
i= λ
i−1 > 0
∂
i+1 g
i= λ
i> 0 (3.3)
In other words, (3.2) is a Jacobi system in the sense of Fusco and Oliva, see [FO88].
Jacobi systems possess a characteristic nodal property or Sturm property. For any vector η = (η 1 , ..., η
N) ∈ R
Nlet z(η), the zero number of η, denote the number of strict sign changes of the ordered sequence η 1 , ..., η
N. Now consider any two solutions u 1 (t), u 2 (t) of a Jacobi system (3.2). Then
t 7→ z(u 2 (t) − u 1 (t)) (3.4)
is nonincreasing with t. More precisely, z drops strictly at t = t 0 whenever the difference η(t 0 ) := u 2 (t 0 ) − u 1 (t 0 ) ∈ R
Npossesses a “multiple zero”:
η
i(t 0 ) = 0 and η
i−1 (t 0 ) · η
i+1 (t 0 ) ≥ 0.
(We use Neumann boundary conditions η 0 = η 1 , η
N+1 = η
Nat i = 1, N, here.) For linear parabolic boundary value problems on the interval, this structure was discovered by Sturm [Stu36] in 1836. For nonlinear PDEs, the subject was suc- cessfully revived by [Mat82]. For Jacobi systems, see [FO88].
Proposition 3.1. [FO88] Consider a Jacobi system (3.2) with a finite number of equilibria. If all equilibria are hyperbolic, then the Jacobi system is Morse-Smale.
We note that an explicit Lyapunov function for Jacobi systems was constructed in [FG97], identifying (3.2) to be gradient-like in general. In our special oscillator case (3.1), a gradient-like structure is inherited from the potential energy V, of course; see (1.11).
Fusco and Oliva prove the Morse-Smale property of Jacobi systems, in [FO88], by establishing the one missing ingredient: transversality of stable and unstable manifolds. The Sturm property (3.4) is the crucial tool in their proof. Note that the Morse-Smale property excludes, in particular, heteroclinic connections E E
0between hyperbolic equilibria of equal Morse index i(E) = i(E
0).
For dissipative Morse-Smale systems (3.2), Fiedler and Rocha have developed an explicit algorithm to determine which equilibria possess a heteroclinic connection, and which do not. The only required input information is the relative ordering of all equilibria at the left boundary, i = 1, versus the right boundary, i = N. See [FR96a], [FR96b] for details. In particular, the algorithm explicitly identifies all equilibria E which connect to a given attractor E 0 , in our description (2.9) of the basin boundary ∂B(E 0 ).
Our specific example (1.14) is not dissipative. It is possible to adapt the theory in [FR96a] to cover that case, confirming the numerical result in Fig. 6.1 below.
Since this adaptation will not be used in our proof of theorem 1.1, though, we do not dwell on the necessary details here.
Because the Morse-Smale property is open (see section 2), the system (1.7) of coupled mechanical oscillators with β
i= 0 becomes Morse-Smale for α
i= α 0
i· α, α 0
i> 0, and
α ≥ α 0 (α 0 1 , ..., α 0
N) (3.5)
Indeed, the bounded solutions are contained in the strongly attracting slow man- ifold, where the flow limits onto (3.1); see (1.9), (1.10), and section 4. Within the slow manifold, the Morse-Smale argument applies.
In particular, we conclude that saddle-saddle connections E E
0, i(E) = i(E
0) are impossible in the case of strong damping of purely local type.
4. Neighbor damping and singular perturbations
In contrast to the previous section, we now consider the limit of strong damping of pure neighbor type. Specifically, as in (1.9), (1.10), we consider systems
A(τ) ˙ u = − f (u) − Lu (4.1) with diagonal nonlinearity (f (u))
i= f
i(u
i) and linear nearest neighbor coupling L. The damping matrix A(τ) corresponds to choices
α
i= (1 − τ)α · α 0
iβ
i= τ α · β 0
i(4.2) 0 ≤ τ < 1, in the limit α → + ∞ of strong damping. In complete detail, A(τ) = (1 − τ)A 0 + τ A 1 with symmetric damping matrices
A 0 =
α 0 1
. ..
α 0
N
, A 1 =
β 1 0 − β 1 0
− β 1 0 (β 1 0 + β 0 2 ) . ..
. .. . .. − β
N0
− β
N0 β
N0
. (4.3)
In accordance with section 1, we assume α 0
i> 0, β 0
i> 0, for i = 1, ..., N. Note that the local damping matrix A 0 is strictly positive definite, whereas the neighbor damping matrix A 1 is only positive semidefinite with one-dimensional kernel given by e = (1, ..., 1) :
ker A 1 = span e = co-ker A 1 (4.4)
By standard perturbation theory [Kat80], the orthogonal eigenprojection P 0 = N
−1 ee
Tassociated to the simple eigenvalue ε = 0 of the symmetric matrix A 1 = A(τ = 1) continues differentiably to a projection onto the eigenspace of the corres- ponding eigenvalue ε near zero of A(τ ), for τ ∈ [0, 1) near 1. Note the expansion
ε = (1 − τ ) · ( 1 N
X
N i=1
α 0
i) + o(1 − τ). (4.5)
This allows us to introduce the eigenvalue ε > 0 as a new, small parameter, replacing τ near 1. With eigenprojections P
ε, Q
ε:= 1 − P
ε, and the associated decomposition
u = v + w, v := P
εu (4.6)
we obtain the singular perturbation form
ε v ˙ = − P
ε(f (v + w) + L(v + w))
˙
w = − A
†(ε)Q
ε(f (v + w) + L(v + w)), (4.7) Here A
†(ε) denotes the inverse of A(τ) on the invariant subspace given by range Q
ε. Note that A
†(ε = 0) is the usual pseudo inverse A
†1 of A 1 . In fast time t
0= t/ε, we obtain the reduced fast system
v
0= − ( 1 N
X
N i=1
f
i(v
i+ w
i)) · e w
0= 0
(4.8)
in the limit ε & 0. Here
0= d/dt
0, and we have used P 0 L = 0. In slow time t, we obtain the corresponding slow system
0 = − ( 1 N
X
N i=1
f
i(v
i+ w
i)) · e
˙
w = − A
†1 Q 0 (f (v + w) + Lw),
(4.9)
formally, for ε & 0. We have used Q 0 Lv = LQ 0 v = 0 here. Finally we let S 0 := { u ∈ R
N|
X
N i=1
f
i(u
i) = 0 } (4.10)
denote the (limiting) slow manifold. For S 0 to actually be a manifold we require 0 to be a regular value of the function
u 7→
X
N i=1
f
i(u
i). (4.11)
In other words, P
f
i(u
i) = 0 implies f
i0(u
i) 6 = 0, for some i. The slow manifold is the equilibrium set of the fast system (4.8) or, alternatively, the set where the slow system (4.9) makes sense. The manifold S 0 can be written as a graph
S 0 : v = ψ 0 (w) (4.12)
locally, by the implicit function theorem, near points u ∈ S 0 where X
Ni